Supervised Matrix Factorization with sparseness constraints and fast inference.
Markus ThomRoland SchweigerGünther PalmPublished in: IJCNN (2011)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- missing data
- low rank
- factorization methods
- nonnegative matrix factorization
- negative matrix factorization
- factor analysis
- stochastic gradient descent
- tensor factorization
- data sparsity
- learning algorithm
- variational bayesian
- semi supervised
- supervised learning
- factorization method
- bayesian networks
- constrained optimization
- bayesian model
- sparse coding
- unsupervised learning
- image classification
- probabilistic matrix factorization